Bibliographic record
Abstract
A 56-year-old female presented with a week history of abdominal distension and jaundice. She was known for metastatic breast cancer on fifth-line chemotherapy and had completed her fourth cycle of paclitaxel/carboplatin one month prior to presentation. She had also experienced recurrent pulmonary embolisms and was currently on tinzaparin. On arrival, the patient was tachycardic but otherwise vitally stable, afebrile and had a normal mental status. Her physical examination revealed a systolic ejection murmur, mild crackles at both lung bases, visible jaundice, ascites, and peripheral edema. She only complained of new fluid retention and increased pressure-like chronic abdominal pain. On investigation, she was found to have an acute kidney injury and an acutely elevated cholestatic transaminitis, with evidence of liver dysfunction (increased INR, reduced albumin, mild thrombocytopenia and low glucose). Her tumor markers were increasing. Her CT and US showed stable metastatic disease in the liver and no evidence of biliary dilatation or vascular thrombosis. However, there was significant interval increase in ascites. She underwent a paracentesis, which removed 4 liters of peritoneal fluid. Analysis was compatible with portal hypertension without evidence of spontaneous bacterial peritonitis Identify and treat a reversible cause of liver failure with high mortality Diagnosis made by autopsy. Supportive treatment was initiated with IV albumin, and the patient was admitted with a diagnosis of drug induced liver injury. However, her laboratory results showed rapid deterioration in all liver enzymes as well as liver function tests. Her mental status remained normal. She was empirically started on N-acetylcysteine, but liver biopsy and steroids were deemed unlikely to change management. Given the poor prognosis and ineligibility to a liver transplant, the patient changed her goals of care. Her liver failure unfortunately progressed, and she died within 3 days of presentation. In the end, all biochemical and microbiologic workup were negative. In fact, the autopsy surprisingly revealed the cause of death to be multiorgan failure secondary to disseminated Clostridium perfringens infection, from either the gallbladder or the necrotic tumor as the primary site, leaving the medical team to wonder how the diagnosis was missed despite negative blood cultures. Although it is the most frequent cause of liver failure, drug-induced liver injury remains a diagnosis of exclusion. Clostridium perfringens bacteremia is rare and rapidly lethal, with mortality rates greater than 60%, but it is also a treatable cause of acute liver failure. Prompt recognition and aggressive treatment are mandatory for any chances of survival. Laboratory findings of hemolysis may raise suspicion of the diagnosis. Hence, early suspicion of infectious causes for hemodynamic or clinical deterioration warrants empirical broad-spectrum antibiotics. None
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.189 | 0.053 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".